The optical recognition part of Aruspix uses an innovative technique in OMR based on Hidden Markov Models to identify and classify the particular musical characters found in early music prints, after an initial pre-treatment phase performed on scanned images of microfilm and facsimiles. The integrated music editor allows corrections of any recognition errors.

One major originality of Aruspix is that it learns and optimizes itself dynamically as soon as a page is processed and corrected by the user.

You will find an overview of the optical recognition process here, as well as a resume of its main features, and some examples of results achieved thus far.

Demo movie

Click to view a demonstration movie (approx. 13Mb) of the software application in QuickTime or in AVI format.

Screenshots

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Last update: 17 Oct 2007
Laurent Pugin